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growfunctions  

Bayesian Non-Parametric Dependent Models for Time-Indexed Functional Data
View on CRAN: Click here


Download and install growfunctions package within the R console
Install from CRAN:
install.packages("growfunctions")

Install from Github:
library("remotes")
install_github("cran/growfunctions")

Install by package version:
library("remotes")
install_version("growfunctions", "0.16")



Attach the package and use:
library("growfunctions")
Maintained by
Terrance Savitsky
[Scholar Profile | Author Map]
First Published: 2014-08-09
Latest Update: 2023-12-12
Description:
Estimates a collection of time-indexed functions under either of Gaussian process (GP) or intrinsic Gaussian Markov random field (iGMRF) prior formulations where a Dirichlet process mixture allows sub-groupings of the functions to share the same covariance or precision parameters. The GP and iGMRF formulations both support any number of additive covariance or precision terms, respectively, expressing either or both of multiple trend and seasonality.
How to cite:
Terrance Savitsky (2014). growfunctions: Bayesian Non-Parametric Dependent Models for Time-Indexed Functional Data. R package version 0.16, https://cran.r-project.org/web/packages/growfunctions. Accessed 05 May. 2025.
Previous versions and publish date:
0.1 (2014-08-09 00:03), 0.11 (2014-12-09 17:39), 0.12 (2015-11-13 23:57), 0.13 (2016-08-16 01:53), 0.14 (2018-03-31 05:33), 0.15 (2021-07-16 20:50)
Other packages that cited growfunctions R package
View growfunctions citation profile
Other R packages that growfunctions depends, imports, suggests or enhances
Complete documentation for growfunctions
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